LAMPIRAN 1: Dokumentasi Penelitian Gambar 1. Membuat Media Tanam M0 Gambar 3. Umur 1 Minggu Tanpa Mulsa Gambar 2. Lahan Penelitian Setelah 1 Bulan M1 Gambar 5. Umur 1 Minggu Dengan Mulsa
M0 Gambar 6. Bunga Pertama Tanpa Mulsa M1 Gambar 7. Bunga Pertama Dengan Mulsa M0P0 M0P1 M0P2 M0P3 Gambar 8. Tanaman Berumur 1,5 Bulan Tanpa Penambahan Mulsa M1P0 M1P1 M1P2 M1P3 Gambar 9. Tanaman Berumur 1,5 Bulan Dengan Penambahan Mulsa
LAMPIRAN 2 : Cara Kerja Pengukuran Serapan Hara Na dan Mg 1. Memasukkan 200 mg cuplikan tanaman ke dalam labu destruksi, tambahkan 2,5 ml H 2 SO 4 pekat, biarkan selama 24 jam, tambahkan 2,5 ml H 2 O 2 pekat, panaskan dalam hot plate (270 o C selama 30 menit) sampai cairan jernih, angkat dan dinginkan. 2. Jika cairan belum jernih tambahkan 5 tetes H 2 O 2 pekat panaskan kembali 10 menit, angkat dan dinginkan. Ulangi langkah ini sehingga cairan jernih (bahan organik sudah hancur semua). 3. Setelah dingin, tuangkan isi labu destruksi melalui corong gelas ke dalam labu takar 100mL, tambahkan aquadest sampai tanda, tutup dengan plastik, gojok agar homogen. 4. Pindahkan isinya ke dalam botol yang jernih, kemudian tutup rapat 5. Ekstrak diencerkan 2000-5000 6. Siap untuk ditetapkan kadarnya dengan AAS pada panjang gelombang 285 nm, pembakaran udara-asetilen.
LAMPIRAN 3 : Cara Kerja Pengukuran Bahan Organik 1. Timbang contoh tanah kering udara sekitar 1 gr 2. Masukkan ke dalam labu takar 50 ml dan tambahkan 10 ml K 2 Cr 2 O 7 1N dengan pipet 3. Tambahkan 10 ml H 2 SO 4 pekat 4. Kemudian dikocok dengan gerakan mendatar dan memutar 5. Warna harus tetap merah jingga, kalau warna menjadi hijau/biru tambahkan lagi K 2 Cr 2 O 7 1N dan H 2 SO 4 dan jumlahnya penambahan ini harus di catat. Diamkan 30 menit sampai larutan menjadi dingin. Penambahan untuk blanko juga harus sama banyak. 6. Tambahkan 5 ml H 3 PO 3 85% dan 1ml indikator diphenyilamine 7. Jadikan volume 50ml dengan menambahkan air suling 8. Kocok dengan cara membalik-balik sampai homogen dan biarkan mengendap. 9. Ambil dengan pipet 5 ml larutan yang jernih, kemudian masukkan dalam labu erlenmeyer 50 ml, tambahkan 15 ml air suling 10. Dititrasi dengan FeSO 4 1N hingga berwarna kehijau-hijauan. 11. Langkah-langkah ini diulangi tanpa contoh tanah untuk keperluan blanko. Perhitungn: Dalam penetapan kadar bahan organik di sini dipakai metode Walkley dan Black (metode volumetris), nilainya 77% kebenarannya, dihitung dinyatakan dalam metode Dennstedt (metode pembakaran) yang nilainya 100% kebenaranya. Analisanya disebut analisa kwantitative volumetris oxydimetris. Rumus Kadar: (BO) = (C) 100% 58% n ( B A) FeSO4 x3 100 (C) = x10 x x100% 100 77 xberat tan ah 100 + KI
LAMPIRAN 4 : Penetapan KTK Tanah 1. Menimbang 5 atau 10 gram contoh tanah kering oven ke dalam beker 250 ml 2. Menambahkan 50 ml larutan ammonium acetat 1N (ph 7), gojok kemudian tutup dengan gelas arloji dan biarkan semalam. 3. Saring larutan ke dalam beker dan filtratnya di tampung 4. Pindahkan isi beker dengan menggunakan larutan ammonium acetat 1N (ph 7) ke dalam corong dan biarkan kering 5. Cuci tanah dengan 25-30 ml larutan ammonium acetat 1N (ph 7) sehingga volume filtrat 200-220 ml (filtrat ini dapat digunakan untuk penetapan kation tertukar) 6. Pindahkan corong erlenmeyer lain, biarkan tanah mengering 7. Cuci tanah dengan larutan Ethanol 95% setiap kali dengan 25-30 ml 8. Pencucian dilakukan sehingga volume filtrat 75-100 ml, biarkan tanah mengering 9. Pindahkan tanah dengan larutan KCL 10% (ph 2,5) ke dalam beker 250 ml, jadikan volume 50 ml dengan KCL 10% (ph 2,5) 10. Gojok, kemudian tutup dan biarkan semalam 11. Ikuti prosedur 3-5 dengan menggunakan larutan KCL 10% (ph 2,5) 12. Jadikan volume 250 ml dengan larutan KCL 10% (ph 2,5) 13. Tepatkan amonia dengan metode makro destilasi Makro destilasi: a. Ambil 100 ml filtrat, masukkan ke dalam labu destilasi b. Tambahkan 250 ml air c. Tambahkan 20 ml 45% NaOH melalui dinding dalam labu destilasi d. Hubungkan dengan alas destilasi e. Untuk menampung, gunakan 25 ml H 3 BO 3 2% yang mengandung 0,5 nl indikator campuran f. Destilasi sampai volume destilat 150 ml g. Titrasi dengan H 2 SO 4 0,1 N.
Hitungan : 250 x( Bk B1) N( H 2 SO4 ) KTK = 100 x100% 100 10x 100 + Ka
LAMPIRAN 5 : Data Hasil Pengukuran Kadar Serapan Hara Na, Mg dan Kandungan Klorofil Daun Kacang Hijau (Phaseolus radiatus L.) 1. Serapan Hara Na Tabel Rerata Hasil Kadar Serapan Hara Na Jaringan Daun Kacang Hijau (Phaseolus radiatus L.) Sampel Serapan Na Mulsa Kompos Ulangan 1 0,070 2 3,209 K 0 3 1,081 Rerata 1,453 1 2,208 2 2,470 K 1 3 1,864 Rerata 2,181 M 0 1 2,110 2 1,591 K 2 3 1,930 Rerata 1,877 1 1,910 2 1,809 K 3 3 1,873 Rerata 1,864 1 2,709 2 2,683 K 0 3 1,249 Rerata 2,214 1 1,671 2 1,769 K 1 3 1,310 Rerata 1,583 M 1 1 1,440 2 1,283 K 2 3 1,579 Rerata 1,434 1 2,561 2 1,571 K 3 3 0,880 Rerata 1,671
2. Serapan Hara Mg Tabel Rerata Hasil Kadar Serapan Hara Mg Jaringan Daun Kacang Hijau (Phaseolus radiatus L.) Mulsa M 0 M 1 Serapan Sampel Mg Kompos Ulangan 1 4,938 2 8,036 K 0 3 3,381 Rerata 5,452 1 7,330 2 14,913 K 1 3 11,068 Rerata 11,104 1 9,572 2 8,176 K 2 3 9,979 Rerata 9,242 1 10,229 2 10,999 K 3 3 9,669 Rerata 10,299 1 9,553 2 10,800 K 0 3 10,513 Rerata 10,289 1 9,011 2 9,981 K 1 3 6,879 Rerata 8,624 1 10,354 2 8,698 K 2 3 10,852 Rerata 9,968 1 9,372 2 6,221 K 3 3 9,468 Rerata 8,354
3. Kandungan Klorofil Tabel Rerata Hasil Kandungan Klorofil Daun Kacang Hijau (Phaseolus radiatus L.) Sampel Pnjg gel (nm) Mulsa Kompos Ulangan 649 665 M 0 M 1 K 0 K 1 K 2 K 3 K 0 K 1 K 2 K 3 klorofil Total 1 1,2 0,5 27,05 2 1,3 0,4 28,44 3 1,1 0,4 24,44 Rerata 26,643 1 1,6 0,8 36,88 2 1,4 0,6 31,66 3 1,3 0,7 30,27 Rerata 32,937 1 1,4 0,7 32,27 2 1,2 0,5 27,05 3 1,1 0,6 25,66 Rerata 28,327 1 1,5 0,7 34,27 2 1,3 0,6 29,66 3 1,4 0,5 31,05 Rerata 31,66 1 1,4 0,8 32,88 2 1,5 0,7 34,27 3 1,2 0,5 27,05 Rerata 31,4 1 1,1 0,5 25,05 2 1,2 0,4 26,44 3 1,4 0,3 29,83 Rerata 27,107 1 1,3 0,5 29,05 2 1,4 0,6 31,66 3 1,2 0,3 25,83 Rerata 28,847 1 1,3 0,5 29,05 2 1,1 0,2 23,22 3 1,2 0,3 25,83 Rerata 26,033
LAMPIRAN 9 : Analisis Varian Serapan Hara Na Between-Subjects Factors jenis_mulsa s Value Label N 1 'Mulsa 0' 12 2 'Mulsa 1' 12 1 'kompos 0' 6 2 'kompos 1' 6 3 'kompos 2' 6 4 'kompos 3' 6 Dependent Variable:serapan_Na Descriptive Statistics jenis_muls a 'Mulsa 0' 'Mulsa 1' Total s Mean Std. Deviation N 'kompos 0' 1.45333 1.602281 3 'kompos 1' 2.18067.303923 3 'kompos 2' 1.87700.263528 3 'kompos 3' 1.86400.051098 3 Total 1.84375.754732 12 'kompos 0' 2.21367.835527 3 'kompos 1' 1.58333.241732 3 'kompos 2' 1.43400.148091 3 'kompos 3' 1.67067.844920 3 Total 1.72542.604845 12 'kompos 0' 1.83350 1.216386 6 'kompos 1' 1.88200.409101 6 'kompos 2' 1.65550.308911 6 'kompos 3' 1.76733.545723 6 Total 1.78458.671599 24 Levene's Test of Equality of Error Variances a Dependent Variable:serapan_Na F df1 df2 Sig. 4.278 7 16.008 Tests the null hypothesis that the error variance of the dependent variable is equal across groups. a. Design: Intercept + jenis_mulsa + s + jenis_mulsa * s
Dependent Variable:serapan_Na Source Tests of Between-Subjects Effects Type III Sum of Squares df Mean Square F Sig. Corrected Model 1.926 a 7.275.521.806 Intercept 76.434 1 76.434 144.758.000 jenis_mulsa.084 1.084.159.695 s.173 3.058.109.953 jenis_mulsa * s 1.669 3.556 1.054.396 Error 8.448 16.528 Total 86.808 24 Corrected Total 10.374 23 a. R Squared =,186 (Adjusted R Squared = -,171) Estimated marginal Estimates Dependent Variable:serapan_Na jenis_muls a Mean Std. Error Lower Bound Upper Bound 'Mulsa 0' 1.844.210 1.399 2.288 'Mulsa 1' 1.725.210 1.281 2.170 Dependent Variable:serapan_Na (I) jenis_muls a (J) jenis_muls a Pairwise Comparisons for Mean Difference Difference a (I-J) Std. Error Sig. a Lower Bound Upper Bound 'Mulsa 0' 'Mulsa 1'.118.297.695 -.511.747 'Mulsa 1' 'Mulsa 0' -.118.297.695 -.747.511 Based on estimated marginal means a. Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments). Dependent Variable:serapan_Na Univariate Tests Sum of Squares df Mean Square F Sig. Contrast.084 1.084.159.695 Error 8.448 16.528 The F tests the effect of jenis_mulsa. This test is based on the linearly independent pairwise comparisons among the estimated marginal means.
Estimates Dependent Variable:serapan_Na s Mean Std. Error Lower Bound Upper Bound 'kompos 0' 1.834.297 1.205 2.462 'kompos 1' 1.882.297 1.253 2.511 'kompos 2' 1.656.297 1.027 2.284 'kompos 3' 1.767.297 1.138 2.396 Dependent Variable:serapan_Na (I) s 'kompos 0' 'kompos 1' 'kompos 2' 'kompos 3' (J) s Pairwise Comparisons for Mean Difference Difference a (I-J) Std. Error Sig. a Lower Bound Upper Bound 'kompos 1' -.049.420.909 -.938.841 'kompos 2'.178.420.677 -.711 1.067 'kompos 3'.066.420.877 -.823.956 'kompos 0'.049.420.909 -.841.938 'kompos 2'.227.420.597 -.663 1.116 'kompos 3'.115.420.788 -.775 1.004 'kompos 0' -.178.420.677-1.067.711 'kompos 1' -.227.420.597-1.116.663 'kompos 3' -.112.420.793-1.001.778 'kompos 0' -.066.420.877 -.956.823 'kompos 1' -.115.420.788-1.004.775 'kompos 2'.112.420.793 -.778 1.001 Based on estimated marginal means a. Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments). Dependent Variable:serapan_Na Univariate Tests Sum of Squares df Mean Square F Sig. Contrast.173 3.058.109.953 Error 8.448 16.528 The F tests the effect of s. This test is based on the linearly independent pairwise comparisons among the estimated marginal means.
Dependent Variable:serapan_Na s 3. s * jenis_mulsa jenis_muls a Mean Std. Error Lower Bound Upper Bound 'kompos 0' 'kompos 1' 'kompos 2' 'kompos 3' 'Mulsa 0' 1.453.420.564 2.343 'Mulsa 1' 2.214.420 1.324 3.103 'Mulsa 0' 2.181.420 1.291 3.070 'Mulsa 1' 1.583.420.694 2.473 'Mulsa 0' 1.877.420.988 2.766 'Mulsa 1' 1.434.420.545 2.323 'Mulsa 0' 1.864.420.975 2.753 'Mulsa 1' 1.671.420.781 2.560 Pos Hoc Dosis kompos Multiple Comparisons Dependent Variable:serapan_Na LSD (I) s 'kompos 0' 'kompos 1' 'kompos 2' 'kompos 3' (J) dosis_komp os Based on observed means. The error term is Mean Square(Error) =,528. Mean Difference (I-J) Std. Error Sig. Lower Bound Upper Bound 'kompos 1' -.04850.419528.909 -.93786.84086 'kompos 2'.17800.419528.677 -.71136 1.06736 'kompos 3'.06617.419528.877 -.82319.95553 'kompos 0'.04850.419528.909 -.84086.93786 'kompos 2'.22650.419528.597 -.66286 1.11586 'kompos 3'.11467.419528.788 -.77469 1.00403 'kompos 0' -.17800.419528.677-1.06736.71136 'kompos 1' -.22650.419528.597-1.11586.66286 'kompos 3' -.11183.419528.793-1.00119.77753 'kompos 0' -.06617.419528.877 -.95553.82319 'kompos 1' -.11467.419528.788-1.00403.77469 'kompos 2'.11183.419528.793 -.77753 1.00119
Homogenous Duncan a serapan_na Subset s N 1 'kompos 2' 6 1.65550 'kompos 3' 6 1.76733 'kompos 0' 6 1.83350 'kompos 1' 6 1.88200 Sig..627 Means for groups in homogeneous subsets are displayed. Based on observed means. The error term is Mean Square(Error) =,528. a. Uses Harmonic Mean Sample Size = 6,000.
LAMPIRAN 10 : Analisis Varian Serapan Hara Mg Between-Subjects Factors jenis_mulsa s Value Label N 1 'mulsa 0' 12 2 'mulsa 1' 12 1 'kompos 0' 6 2 'kompos 1' 6 3 'kompos 2' 6 4 'kompos 3' 6 Dependent Variable:serapan_Mg jenis_mulsa 'mulsa 0' 'mulsa 1' Total Descriptive Statistics s Mean Std. Deviation N 'kompos 0' 1.45333 1.602281 3 'kompos 1' 2.18067.303923 3 'kompos 2' 1.87700.263528 3 'kompos 3' 1.86400.051098 3 Total 1.84375.754732 12 'kompos 0' 2.21367.835527 3 'kompos 1' 1.58333.241732 3 'kompos 2' 1.43400.148091 3 'kompos 3' 1.67067.844920 3 Total 1.72542.604845 12 'kompos 0' 1.83350 1.216386 6 'kompos 1' 1.88200.409101 6 'kompos 2' 1.65550.308911 6 'kompos 3' 1.76733.545723 6 Total 1.78458.671599 24 Levene's Test of Equality of Error Variances a Dependent Variable:serapan_Mg F df1 df2 Sig. 4.278 7 16.008 Tests the null hypothesis that the error variance of the dependent variable is equal across groups. a. Design: Intercept + jenis_mulsa + s + jenis_mulsa * s
Dependent Variable:serapan_Mg Source Tests of Between-Subjects Effects Type III Sum of Squares df Mean Square F Sig. Corrected Model 1.926 a 7.275.521.806 Intercept 76.434 1 76.434 144.758.000 jenis_mulsa.084 1.084.159.695 s.173 3.058.109.953 jenis_mulsa * s 1.669 3.556 1.054.396 Error 8.448 16.528 Total 86.808 24 Corrected Total 10.374 23 a. R Squared =,186 (Adjusted R Squared = -,171) Estimated Marginal Estimates Dependent Variable:serapan_Mg jenis_mulsa Mean Std. Error Lower Bound Upper Bound 'mulsa 0' 1.844.210 1.399 2.288 'mulsa 1' 1.725.210 1.281 2.170 Dependent Variable:serapan_Mg (I) (J) jenis_mulsa jenis_mulsa Pairwise Comparisons Mean Difference for Difference a (I-J) Std. Error Sig. a Lower Bound Upper Bound 'mulsa 0' 'mulsa 1'.118.297.695 -.511.747 'mulsa 1' 'mulsa 0' -.118.297.695 -.747.511 Based on estimated marginal means a. Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments). Dependent Variable:serapan_Mg Univariate Tests Sum of Squares df Mean Square F Sig. Contrast.084 1.084.159.695 Error 8.448 16.528 The F tests the effect of jenis_mulsa. This test is based on the linearly independent pairwise comparisons among the estimated marginal means.
Estimates Dependent Variable:serapan_Mg s Mean Std. Error Lower Bound Upper Bound 'kompos 0' 1.834.297 1.205 2.462 'kompos 1' 1.882.297 1.253 2.511 'kompos 2' 1.656.297 1.027 2.284 'kompos 3' 1.767.297 1.138 2.396 Pairwise Comparisons Dependent Variable:serapan_Mg (I) s (J) s Mean Difference (I-J) for Std. Difference a Error Sig. a Lower Bound Upper Bound 'kompos 0' 'kompos 1' 'kompos 2' 'kompos 3' 'kompos 1' -.049.420.909 -.938.841 'kompos 2'.178.420.677 -.711 1.067 'kompos 3'.066.420.877 -.823.956 'kompos 0'.049.420.909 -.841.938 'kompos 2'.227.420.597 -.663 1.116 'kompos 3'.115.420.788 -.775 1.004 'kompos 0' -.178.420.677-1.067.711 'kompos 1' -.227.420.597-1.116.663 'kompos 3' -.112.420.793-1.001.778 'kompos 0' -.066.420.877 -.956.823 'kompos 1' -.115.420.788-1.004.775 'kompos 2'.112.420.793 -.778 1.001 Based on estimated marginal means a. Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments).
Dependent Variable:serapan_Mg Univariate Tests Sum of Squares df Mean Square F Sig. Contrast.173 3.058.109.953 Error 8.448 16.528 The F tests the effect of s. This test is based on the linearly independent pairwise comparisons among the estimated marginal means. 3. s * jenis_mulsa Dependent Variable:serapan_Mg s jenis_mulsa Mean Std. Error Lower Bound Upper Bound 'kompos 0' 'mulsa 0' 1.453.420.564 2.343 'mulsa 1' 2.214.420 1.324 3.103 'kompos 1' 'mulsa 0' 2.181.420 1.291 3.070 'mulsa 1' 1.583.420.694 2.473 'kompos 2' 'mulsa 0' 1.877.420.988 2.766 'mulsa 1' 1.434.420.545 2.323 'kompos 3' 'mulsa 0' 1.864.420.975 2.753 'mulsa 1' 1.671.420.781 2.560 Dependent Variable:serapan_Mg Multiple Comparisons LSD (I) s 'kompos 0' 'kompos 1' 'kompos 2' 'kompos 3' (J) s Mean Difference (I-J) Std. Error Sig. Lower Bound Upper Bound 'kompos 1' -.04850.419528.909 -.93786.84086 'kompos 2'.17800.419528.677 -.71136 1.06736 'kompos 3'.06617.419528.877 -.82319.95553 'kompos 0'.04850.419528.909 -.84086.93786 'kompos 2'.22650.419528.597 -.66286 1.11586 'kompos 3'.11467.419528.788 -.77469 1.00403 'kompos 0' -.17800.419528.677-1.06736.71136 'kompos 1' -.22650.419528.597-1.11586.66286 'kompos 3' -.11183.419528.793-1.00119.77753 'kompos 0' -.06617.419528.877 -.95553.82319 'kompos 1' -.11467.419528.788-1.00403.77469 'kompos 2'.11183.419528.793 -.77753 1.00119
Dependent Variable:serapan_Mg Multiple Comparisons LSD (I) s 'kompos 0' 'kompos 1' 'kompos 2' 'kompos 3' (J) s Mean Difference (I-J) Std. Error Sig. Lower Bound Upper Bound 'kompos 1' -.04850.419528.909 -.93786.84086 'kompos 2'.17800.419528.677 -.71136 1.06736 'kompos 3'.06617.419528.877 -.82319.95553 'kompos 0'.04850.419528.909 -.84086.93786 'kompos 2'.22650.419528.597 -.66286 1.11586 'kompos 3'.11467.419528.788 -.77469 1.00403 'kompos 0' -.17800.419528.677-1.06736.71136 'kompos 1' -.22650.419528.597-1.11586.66286 'kompos 3' -.11183.419528.793-1.00119.77753 'kompos 0' -.06617.419528.877 -.95553.82319 'kompos 1' -.11467.419528.788-1.00403.77469 'kompos 2'.11183.419528.793 -.77753 1.00119 Based on observed means. The error term is Mean Square(Error) =,528. Duncan a serapan_mg Subset s N 1 'kompos 2' 6 1.65550 'kompos 3' 6 1.76733 'kompos 0' 6 1.83350 'kompos 1' 6 1.88200 Sig..627 Means for groups in homogeneous subsets are displayed. Based on observed means. The error term is Mean Square(Error) =,528. a. Uses Harmonic Mean Sample Size = 6,000.
LAMPIRAN 11: Analisis Varian Kandungan Klorofil Between-Subjects Factors Value Label N jenis_mulsa 1 "mulsa 0" 12 2 "mulsa 1" 12 s 1 "kompos 0" 6 2 "kompos 1" 6 3 "kompos 2" 6 4 "kompos 3" 6 Dependent Variable:klorofil_daun Descriptive Statistics jenis_mulsa s Mean Std. Deviation N "mulsa 0" "kompos 0" 26.6433 2.03077 3 "kompos 1" 32.9367 3.48503 3 "kompos 2" 28.3267 3.48503 3 "kompos 3" 31.6600 2.36476 3 Total 29.8917 3.62082 12 "mulsa 1" "kompos 0" 31.4000 3.83078 3 "kompos 1" 27.1067 2.45875 3 "kompos 2" 28.8467 2.92031 3 "kompos 3" 26.0333 2.92031 3 Total 28.3467 3.37018 12 Total "kompos 0" 29.0217 3.78250 6 "kompos 1" 30.0217 4.18007 6 "kompos 2" 28.5867 2.88974 6 "kompos 3" 28.8467 3.89178 6 Total 29.1192 3.51070 24
Levene's Test of Equality of Error Variances a Dependent Variable:klorofil_daun F df1 df2 Sig..455 7 16.852 Tests the null hypothesis that the error variance of the dependent variable is equal across groups. a. Design: Intercept + jenis_mulsa + s + jenis_mulsa * s Dependent Variable:klorofil_daun Tests of Between-Subjects Effects Source Type III Sum of Squares df Mean Square F Sig. Corrected Model 139.908 a 7 19.987 2.227.088 Intercept 20350.221 1 20350.221 2.268E3.000 jenis_mulsa 14.322 1 14.322 1.596.225 s 7.091 3 2.364.263.851 jenis_mulsa * s 118.495 3 39.498 4.402.019 Error 143.568 16 8.973 Total 20633.696 24 Corrected Total 283.475 23 a. R Squared =,494 (Adjusted R Squared =,272)
Estimated Marginal Means 1. jenis_mulsa Dependent Variable:klorofil_daun Estimates jenis_mulsa Mean Std. Error Lower Bound Upper Bound "mulsa 0" 29.892.865 28.059 31.725 "mulsa 1" 28.347.865 26.514 30.180 Dependent Variable:klorofil_daun Pairwise Comparisons (I) jenis_mulsa (J) jenis_mulsa for Mean Difference Difference a (I-J) Std. Error Sig. a Lower Bound Upper Bound "mulsa 0" "mulsa 1" 1.545 1.223.225-1.047 4.137 "mulsa 1" "mulsa 0" -1.545 1.223.225-4.137 1.047 Based on estimated marginal means a. Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments). Univariate Tests Dependent Variable:klorofil_daun Sum of Squares df Mean Square F Sig. Contrast 14.322 1 14.322 1.596.225 Error 143.568 16 8.973 The F tests the effect of jenis_mulsa. This test is based on the linearly independent pairwise comparisons among the estimated marginal means.
2. s Dependent Variable:klorofil_daun Estimates s Mean Std. Error Lower Bound Upper Bound "kompos 0" 29.022 1.223 26.429 31.614 "kompos 1" 30.022 1.223 27.429 32.614 "kompos 2" 28.587 1.223 25.994 31.179 "kompos 3" 28.847 1.223 26.254 31.439 Dependent Variable:klorofil_daun Pairwise Comparisons (I) (J) s s for Mean Difference Difference a (I-J) Std. Error Sig. a Lower Bound Upper Bound "kompos 0" "kompos 1" -1.000 1.729.571-4.666 2.666 "kompos 2".435 1.729.805-3.231 4.101 "kompos 3".175 1.729.921-3.491 3.841 "kompos 1" "kompos 0" 1.000 1.729.571-2.666 4.666 "kompos 2" 1.435 1.729.419-2.231 5.101 "kompos 3" 1.175 1.729.507-2.491 4.841 "kompos 2" "kompos 0" -.435 1.729.805-4.101 3.231 "kompos 1" -1.435 1.729.419-5.101 2.231 "kompos 3" -.260 1.729.882-3.926 3.406 "kompos 3" "kompos 0" -.175 1.729.921-3.841 3.491 "kompos 1" -1.175 1.729.507-4.841 2.491 "kompos 2".260 1.729.882-3.406 3.926 Based on estimated marginal means a. Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments).
Univariate Tests Dependent Variable:klorofil_daun Sum of Squares df Mean Square F Sig. Contrast 7.091 3 2.364.263.851 Error 143.568 16 8.973 The F tests the effect of s. This test is based on the linearly independent pairwise comparisons among the estimated marginal means. 3. s * jenis_mulsa Dependent Variable:klorofil_daun s jenis_mulsa Mean Std. Error Lower Bound Upper Bound "kompos 0" "mulsa 0" 26.643 1.729 22.977 30.310 "mulsa 1" 31.400 1.729 27.734 35.066 "kompos 1" "mulsa 0" 32.937 1.729 29.270 36.603 "mulsa 1" 27.107 1.729 23.440 30.773 "kompos 2" "mulsa 0" 28.327 1.729 24.660 31.993 "mulsa 1" 28.847 1.729 25.180 32.513 "kompos 3" "mulsa 0" 31.660 1.729 27.994 35.326 "mulsa 1" 26.033 1.729 22.367 29.700
Post Hoc Tests s Multiple Comparisons Dependent Variable:klorofil_daun (I) s (J) s Mean Difference Upper (I-J) Std. Error Sig. Lower Bound Bound LSD "kompos 0" "kompos 1" "kompos 2" "kompos 3" "kompos 1" -1.0000 1.72945.571-4.6663 2.6663 "kompos 2".4350 1.72945.805-3.2313 4.1013 "kompos 3".1750 1.72945.921-3.4913 3.8413 "kompos 0" 1.0000 1.72945.571-2.6663 4.6663 "kompos 2" 1.4350 1.72945.419-2.2313 5.1013 "kompos 3" 1.1750 1.72945.507-2.4913 4.8413 "kompos 0" -.4350 1.72945.805-4.1013 3.2313 "kompos 1" -1.4350 1.72945.419-5.1013 2.2313 "kompos 3" -.2600 1.72945.882-3.9263 3.4063 "kompos 0" -.1750 1.72945.921-3.8413 3.4913 "kompos 1" -1.1750 1.72945.507-4.8413 2.4913 "kompos 2".2600 1.72945.882-3.4063 3.9263 Based on observed means. The error term is Mean Square(Error) = 8,973.
Homogeneous Subsets klorofil_daun Subset s N 1 Duncan a "kompos 2" 6 28.5867 "kompos 3" 6 28.8467 "kompos 0" 6 29.0217 "kompos 1" 6 30.0217 Sig..457 Means for groups in homogeneous subsets are displayed. Based on observed means. The error term is Mean Square(Error) = 8,973. a. Uses Harmonic Mean Sample Size = 6,000.